Curriculum-Style Fine-Grained Adaption for Unsupervised Cross-Lingual Dependency Transfer
P Guo, S Huang, P Jiang, Y Sun… - … /ACM Transactions on …, 2022 - ieeexplore.ieee.org
Unsupervised cross-lingual transfer has been shown great potentials for dependency
parsing of the low-resource languages when there is no annotated treebank available …
parsing of the low-resource languages when there is no annotated treebank available …
Seek for commonalities: Shared features extraction for multi-task reinforcement learning via adversarial training
J Meng, F Zhu - Expert Systems with Applications, 2023 - Elsevier
Multi-task reinforcement learning is promising to alleviate the low sample efficiency and high
computation cost of reinforcement learning algorithms. However, current methods mostly …
computation cost of reinforcement learning algorithms. However, current methods mostly …
Fine-Grained Domain Adaptation for Chinese Syntactic Processing
Syntactic processing is fundamental to natural language processing. It provides rich and
comprehensive syntax information in sentences that could be potentially beneficial for …
comprehensive syntax information in sentences that could be potentially beneficial for …